7 resultados para Information needs – representation

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Este trabalho relata a experiência e os procedimentos adotados em um processo de análise e identificação dos títulos de periódicos recebidos pela Biblioteca do Instituto de Medicina Tropical de São Paulo da Universidade de São Paulo, desde sua criação. Para a coleta de dados foram utilizadas as informações dos registros bibliográficos no Módulo de Catalogação no Banco de Dados Bibliográficos DEDALUS Aleph 500 Versão 18.1 da Universidade de São Paulo, seguindo alguns critérios pré-estabelecidos. Conclui-se que, apesar dos problemas detectados serem pouco relevantes em relação ao acervo analisado, deve-se manter um estudo comparativo entre a necessidade do usuário e a coleção disponível na Biblioteca, para que os periódicos atendam às necessidades de informação de seus usuários.

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Considerando-se a importância de se fazer conhecer as permutas e as doações recebidas pela Biblioteca do Instituto de Medicina Tropical de São Paulo, definiu-se como universo de pesquisa a avaliação das coleções de periódicos nacionais e internacionais, recebidas correntemente, e incorporadas ao acervo. Verificou-se, através dessas coleções, que o acervo possui uma boa representatividade das necessidades de informação da comunidade, mesmo sendo uma Biblioteca Especializada em Medicina Tropical. Identificou- se, dentre os periódicos recebidos, o número de doações e permutas, os assuntos predominantes, a procedência, o fator de impacto e as indexações. Procurou-se, também, conhecer a opinião dos usuários, quanto a seu interesse em relação aos títulos recebidos. 1

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A necessidade de informação é definida como a deficiência de informação ou habilidade relacionada a um domínio de vida relevante para o paciente. O objetivo do presente estudo foi identificar as necessidades de informação de candidatos em fila de espera para o transplante de fígado. Trata-se de estudo descritivo, conduzido em centro transplantador brasileiro do interior paulista. A amostra foi constituída de 55 pacientes, e a coleta de dados foi realizada nos meses de março a junho de 2009. Os resultados evidenciaram que as necessidades de informação do período pré-operatório foram as que obtiveram pontuações médias maiores. O conhecimento de informações que o candidato ao transplante de fígado precisa é relevante para o planejamento do processo ensino-aprendizagem.

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Most museums, libraries, and archives throughout the world have to deal with paper damaged by iron gall ink. For more than a decade international research has been devoted to the topic in an attempt to provide practical treatments for objects and formulate guidelines for the preservation of iron gall ink collections. A working group of conservators in South and Central America and the Caribbean have developed a program to disseminate research findings, collect data about the condition of iron gall ink collections in their countries and identify imminent training needs. The goal of this project is to combine the latest research with existing and acceptable conservation practices and share information about risk management, proper housing, examination and treatment of iron gall ink inscribed artefacts-at risk. Communications among colleagues were established to learn more about the current resources available in collections from various countries.

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This study is founded on the phenomenology of Martin Heidegger, with the objective to understand the care needs of women infected with the human papilloma virus. Participants were fourteen women who had been diagnosed with this infection. The guiding questions were: What is it like to have this diagnosis? Tell me your experience, from when you received your diagnosis until today. What has your health care been like? The questions revealed the theme - seeking care as solicitude - which showed the importance of the support of family and friends. The presence of the infection as the cause of marital conflicts and separation was another highlighted aspect. The statements showed that there was a sense of resignation after an unsuccessful attempt to find accurate and clear information in order to make assertive decisions. Health interventions for infected women must overcome the traditional models of care, including interventions for health promotion and prevention, with trained professionals who are sensitive to the subjective dimension.

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Background: In the analysis of effects by cell treatment such as drug dosing, identifying changes on gene network structures between normal and treated cells is a key task. A possible way for identifying the changes is to compare structures of networks estimated from data on normal and treated cells separately. However, this approach usually fails to estimate accurate gene networks due to the limited length of time series data and measurement noise. Thus, approaches that identify changes on regulations by using time series data on both conditions in an efficient manner are demanded. Methods: We propose a new statistical approach that is based on the state space representation of the vector autoregressive model and estimates gene networks on two different conditions in order to identify changes on regulations between the conditions. In the mathematical model of our approach, hidden binary variables are newly introduced to indicate the presence of regulations on each condition. The use of the hidden binary variables enables an efficient data usage; data on both conditions are used for commonly existing regulations, while for condition specific regulations corresponding data are only applied. Also, the similarity of networks on two conditions is automatically considered from the design of the potential function for the hidden binary variables. For the estimation of the hidden binary variables, we derive a new variational annealing method that searches the configuration of the binary variables maximizing the marginal likelihood. Results: For the performance evaluation, we use time series data from two topologically similar synthetic networks, and confirm that our proposed approach estimates commonly existing regulations as well as changes on regulations with higher coverage and precision than other existing approaches in almost all the experimental settings. For a real data application, our proposed approach is applied to time series data from normal Human lung cells and Human lung cells treated by stimulating EGF-receptors and dosing an anticancer drug termed Gefitinib. In the treated lung cells, a cancer cell condition is simulated by the stimulation of EGF-receptors, but the effect would be counteracted due to the selective inhibition of EGF-receptors by Gefitinib. However, gene expression profiles are actually different between the conditions, and the genes related to the identified changes are considered as possible off-targets of Gefitinib. Conclusions: From the synthetically generated time series data, our proposed approach can identify changes on regulations more accurately than existing methods. By applying the proposed approach to the time series data on normal and treated Human lung cells, candidates of off-target genes of Gefitinib are found. According to the published clinical information, one of the genes can be related to a factor of interstitial pneumonia, which is known as a side effect of Gefitinib.

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Walking on irregular surfaces and in the presence of unexpected events is a challenging problem for bipedal machines. Up to date, their ability to cope with gait disturbances is far less successful than humans': Neither trajectory controlled robots, nor dynamic walking machines (Limit CycleWalkers) are able to handle them satisfactorily. On the contrary, humans reject gait perturbations naturally and efficiently relying on their sensory organs that, if needed, elicit a recovery action. A similar approach may be envisioned for bipedal robots and exoskeletons: An algorithm continuously observes the state of the walker and, if an unexpected event happens, triggers an adequate reaction. This paper presents a monitoring algorithm that provides immediate detection of any type of perturbation based solely on a phase representation of the normal walking of the robot. The proposed method was evaluated in a Limit Cycle Walker prototype that suffered push and trip perturbations at different moments of the gait cycle, providing 100% successful detections for the current experimental apparatus and adequately tuned parameters, with no false positives when the robot is walking unperturbed.